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Health Monitoring Of An Aircraft Fuel System Using Artificial Intelligence Techniques
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Book Synopsis Health Monitoring of an Aircraft Fuel System Using Artificial Intelligence Techniques by : Vijaylakshmi S. S Jigajinni
Download or read book Health Monitoring of an Aircraft Fuel System Using Artificial Intelligence Techniques written by Vijaylakshmi S. S Jigajinni and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aircraft is a non-linear complex system and is need of regular monitoring. Integrated Vehicle Health Management (IVHM) is a process of health management paradigm, which involves system parameter monitoring, assessment of current, future conditions through diagnostic and prognostic approaches by providing required maintenance activities. Deployment of diagnostic, prognostic and health management processes enable to improve the system reliability and reduces the operating cost of the aircraft. Health monitoring and management plays a vibrant role in safe operation and maintenance of aircraft. Soft computing methodologies such as Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to estimate the health status of fuel system by developing model of a typical pump feed, twin-engine, four-tank small aircraft fuel system using Simulink in the laboratory environment. The controller is designed to generate the signals of the fuel tanks based on the fuel requirement of the engine. The ANFIS based management system helps to detect the faults existing in the fuel system and diagnose those faults using the expert,Äôs logical rules. During a fault ailment, the controller,Äôs performance is evaluated. The efficacy of this intelligent controller is verified with the present fuel control system and ANN controller.
Book Synopsis Fuzzy Systems by : Constantin Volosencu
Download or read book Fuzzy Systems written by Constantin Volosencu and published by BoD – Books on Demand. This book was released on 2022-01-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents some recent specialized works of theoretical study in the domain of fuzzy systems. Over eight sections and fifteen chapters, the volume addresses fuzzy systems concepts and promotes them in practical applications in the following thematic areas: fuzzy mathematics, decision making, clustering, adaptive neural fuzzy inference systems, control systems, process monitoring, green infrastructure, and medicine. The studies published in the book develop new theoretical concepts that improve the properties and performances of fuzzy systems. This book is a useful resource for specialists, engineers, professors, and students.
Book Synopsis Intelligent Based Aircraft Engine Health Monitoring by : Seref Demirci
Download or read book Intelligent Based Aircraft Engine Health Monitoring written by Seref Demirci and published by LAP Lambert Academic Publishing. This book was released on 2011-09 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engine Health monitoring (EHM) has been very popular subject to increase aircraft availability with the minimum maintenance cost. The study is aimed at providing a method to monitor the aircraft engine health during the flight with the aim of providing an opportunity for early fault detection to improve airline maintenance effectiveness and reliability. Since the impending engine failures may cause to change the engine parameters such as Fuel Flow (FF), Exhaust Gas Temperature (EGT), engine fan speed (N1), engine compressor speed (N2), etc., engine deteriorations or faults may be identified before they occur by monitoring them. So as to monitor engine health in flight, the automation of current work for EHM done manually by airlines is developed by using fuzzy logic (FL) and neural network (NN) models. FL is selected to develop automated EHM system (AEHMS), since it is very useful method for automation health monitoring. The fuzzy rule inference system for different engine faults is based on the expert knowledge and real life data in Turkish Airlines fleet. The complete loop of EHM is automatically performed by the visual basic programs and Fuzzy Logic Toolbox in MATLAB.
Book Synopsis Artificial Intelligence Techniques for Improving Aircraft Maintenance Efficiency by :
Download or read book Artificial Intelligence Techniques for Improving Aircraft Maintenance Efficiency written by and published by . This book was released on 1991 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Improving Aircraft Engine Maintenance Effectiveness and Reliability Using Intelligent Based Health Monitoring by : Şeref Demirci
Download or read book Improving Aircraft Engine Maintenance Effectiveness and Reliability Using Intelligent Based Health Monitoring written by Şeref Demirci and published by . This book was released on 2009 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engine Health monitoring (EHM) has been a very popular subject to increase aircraft availability with minimum maintenance cost. The study is aimed at providing a method to monitor the aircraft engine health during the flight with the aim of providing an opportunity for early fault detection to improve airline maintenance effectiveness and reliability. Since the impending engine failures may cause to change the engine parameters such as Fuel Flow (FF), Exhaust Gas Temperature (EGT), engine fan speed (N1), engine compressor speed (N2), etc., engine deteriorations or faults may be identified before they occur by monitoring them. So as to monitor engine health in flight, the automation of current work for EHM which is done manually by airlines is developed by using fuzzy logic (FL) and neural network (NN) models. FL is selected to develop an Automated EHM system (AEHMS), since it is very useful method for automation health monitoring. The fuzzy rule inference system for different engine faults is based on the expert knowledge and real life data in Turkish Airlines fleet. The complete loop of EHM is automatically performed by visual basic programs and Fuzzy Logic Toolbox in MATLAB. Finally, the method is utilized to run for monitoring the engines in Turkish Airlines fleet. This study has shown that AEHMS can be used by airlines or engine manufacturers efficiently to simplify the EHM system and minimize the drawbacks of it, such as extra labor hour, human error and requirement for engineering expertise. This method may also be applicable other than aircraft engines such as auxiliary power unit, structures. Since every engine type has different characters, it is required to revise the fuzzy rules for the concerning engine types.
Book Synopsis Aircraft Fuel Systems by : Roy Langton
Download or read book Aircraft Fuel Systems written by Roy Langton and published by John Wiley & Sons. This book was released on 2009-05-18 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: All aspects of fuel products and systems including fuel handling, quantity gauging and management functions for both commercial (civil) and military applications. The fuel systems on board modern aircraft are multi-functional, fully integrated complex networks. They are designed to provide a proper and reliable management of fuel resources throughout all phases of operation, notwithstanding changes in altitude or speed, as well as to monitor system functionality and advise the flight crew of any operational anomalies that may develop. Collates together a wealth of information on fuel system design that is currently disseminated throughout the literature. Authored by leading industry experts from Airbus and Parker Aerospace. Includes chapters on basic system functions, features and functions unique to military aircraft, fuel handling, fuel quantity gauging and management, fuel systems safety and fuel systems design and development. Accompanied by a companion website housing a MATLAB/SIMULINK model of a modern aircraft fuel system that allows the user to set up flight conditions, investigate the effects of equipment failures and virtually fly preset missions. Aircraft Fuel Systems provides a timely and invaluable resource for engineers, project and programme managers in the equipment supply and application communities, as well as for graduate and postgraduate students of mechanical and aerospace engineering. It constitutes an invaluable addition to the established Wiley Aerospace Series.
Book Synopsis Smart and Sustainable Operations Management in the Aviation Industry by : Turan Paksoy
Download or read book Smart and Sustainable Operations Management in the Aviation Industry written by Turan Paksoy and published by CRC Press. This book was released on 2024-09-18 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ongoing impact of Industry 4.0 and disruptive technologies has transformed conventional supply chains into globally connected collaborative networks. As supply chains become flexible, agile, and digital structures, the planning and operation phases of the key business processes become more complex. This book presents state-of-the-art chapters on smart and sustainable supply chain management in the aviation industry. The aviation industry is one of the main industries affected by the rapid transformation initiated by the Fourth Industrial Revolution. Disruptive technologies, such as artificial intelligence, augmented reality, advanced sensor systems, and autonomous robots, are shaping the future of the aviation industry. In this sense, conventional aviation operations are being replaced by innovative ones, and aviation companies need to switch their business models. This transformation is required due to the increasing economic, environmental, and social concerns.Smart and Sustainable Operations Management in the Aviation Industry: A Supply Chain 4.0 Perspective addresses these changes in the aviation industry. This book covers a wide range of topics, including key business operations in aviation, productivity improvement strategies in the aviation industry, and promising applications of disruptive technologies for aviation companies.
Book Synopsis Safety, Reliability and Applications of Emerging Intelligent Control Technologies by : T.S. Ng
Download or read book Safety, Reliability and Applications of Emerging Intelligent Control Technologies written by T.S. Ng and published by Elsevier. This book was released on 2014-06-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, over the last few years, intelligent controllers have been incorporated into control systems. Presently, the numbers and types of intelligent controllers that contain variations of fuzzy logic, neural network, genetic algorithms or some other forms of knowledge based reasoning technology are dramatically rising. However, considering the stability of the system, when such controllers are included it is difficult to analyse and predict system behaviour under unexpected conditions. Leading researchers and industrial practitioners were able to discuss and evaluate current development and future research directions at the first IFAC International Workshop on safety, reliability and applications on emerging intelligent control technology. This publication contains the papers, covering a wide range of topics, presented at the workshop.
Book Synopsis Artificial Intelligence and Human Performance in Transportation by : Dimitrios Ziakkas
Download or read book Artificial Intelligence and Human Performance in Transportation written by Dimitrios Ziakkas and published by CRC Press. This book was released on 2024-10-30 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a major technological advancement in the 21st century. With its influence spreading to all aspects of our lives and the engineering sector, establishing well-defined objectives is crucial for successfully integrating AI in the field of transportation. This book presents different ways of adopting emerging technologies in transportation operations, including security, safety, online training, and autonomous vehicle operations on land, sea, and air. This guide is a dynamic resource for senior management and decision-makers, with essential practical advice distilled from the expertise of specialists in the field. It addresses the most critical issues facing transportation service providers in adopting AI and investigates the relationship between the human operator and the technology to navigate what is and is not feasible or impossible. Case studies of actual implementation provide context to common scenarios in the transportation sector. This book will serve the reader as the starting point for practical questions regarding the deployment and safety assurance of new and emergent technologies in the transportation domains. Artificial Intelligence and Human Performance in Transportation is a beneficial read for professionals in the fields of Human Factors, Engineering (Aviation, Maritime and Land), Logistics, Manufacturing, Accident Investigation and Safety, Cybersecurity and Human Resources.
Book Synopsis Harnessing Digital Innovation for Air Transportation by : Yilmaz, Ayse Asli
Download or read book Harnessing Digital Innovation for Air Transportation written by Yilmaz, Ayse Asli and published by IGI Global. This book was released on 2024-03-04 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aviation industry faces an unprecedented challenge the digital transformation revolution. While digital technologies promise immense benefits in terms of efficiency, safety, and passenger experience, they also bring forth intricate challenges. Navigating through complex regulatory frameworks and safeguarding against cybersecurity risks has become a paramount concern for aviation professionals and academics alike. The industry's future success hinges on its ability to adapt to this digital revolution while effectively managing the potential pitfalls it presents. Harnessing Digital Innovation for Air Transportation emerges as a timely and comprehensive solution for academic scholars in aviation management. It offers a profound exploration of how digital innovations are shaping various facets of aviation and provides in-depth strategies to address the challenges presented by this digital revolution. From understanding the impact of digital transformation to harnessing data analytics, managing safety, enhancing the passenger experience, and delving into emerging technologies, this book equips readers with the knowledge and tools to thrive in the digital age of aviation.
Book Synopsis Integrated Vehicle Health Management by : Timothy Wilmering
Download or read book Integrated Vehicle Health Management written by Timothy Wilmering and published by SAE International. This book was released on 2017-07-24 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrated Vehicle Health Management (IVHM) is the unified capability of a system of systems (SoS) to assess the current or future state of the member system health, and integrate it within a framework of available resources and operational demand. As systems complexities have increased, so have system support costs, driven by more frequent and often enigmatic subsystem failures. IVHM strategies can be used to mitigate these issues by taking a Systems of Systems view. Combined with advanced decision support methods, this approach can be used to more effectively predict, isolate, schedule, and repair failed subsystems, reducing platform support costs and minimizing platform down time. Integrated Vehicle Health Management- System of Systems Integration brings together ten seminal SAE technical papers addressing the challenges and solutions to maintaining highly complex vehicles. The strategy requires that the IVHM system must provide actionable decision support to operators and maintainers, informing platform operational capabilities and maintenance procedures. The goal is to prevent a given component from degrading to the point of failure or predictable impending failure. Specifications should also reflect a common means for communicating this information to other health- ready IVHM system components.
Book Synopsis Aircraft Jet Engine Health Monitoring Through System Identification Using Ensemble Neural Networks by : Mahdiyeh Amozegar
Download or read book Aircraft Jet Engine Health Monitoring Through System Identification Using Ensemble Neural Networks written by Mahdiyeh Amozegar and published by . This book was released on 2015 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis a new approach for jet engine Fault Detection and Isolation (FDI) is proposed using ensemble neural networks. Ensemble methods combine various model predictions to reduce the modeling error and increase the prediction accuracy. By combining individual models, more robust and accurate representations are almost always achievable without the need of ad-hoc fine tunings that are required for single model-based solutions. For the purpose of jet engine health monitoring, the model of the jet engine dynamics is represented using three different stand-alone or individual neural network learning algorithms. Specifically, a dynamic multi-layer perceptron (MLP), a dynamic radial-basis function (RBF) neural network, and a dynamic support vector machine (SVM) are trained to individually model the jet engine dynamics. The accuracy of each stand-alone model in identification of the jet engine dynamics is evaluated. Next, three ensemble-based techniques are employed to represent jet engine dynamics. Namely, two heterogenous ensemble models (an ensemble model is heterogeneous when different learning algorithms (neural networks) are used for training its members) and a homogeneous ensemble model (all the models are generated using the same learning algorithm (neural network)). It is concluded that the ensemble models improve the modeling accuracy when compared to stand-alone solutions. The best selected stand-alone model (i.e the dynamic radial-basis function neural network in this application) and the best selected ensemble model (i.e. a heterogenous ensemble) in term of the jet engine modeling accuracy are selected for performing the FDI study. Engine residual signals are generated using both single model-based and ensemble-based solutions under various engine health conditions. The obtained residuals are evaluated in order to detect engine faults. Our simulation results demonstrate that the fault detection task using residuals that are obtained from the ensemble model results in more accurate performance. The fault isolation task is performed by evaluating variations in residual signals (before and after a fault detection flag) using a neural network classifier. As in the fault detection results, it is observed that the ensemble-based fault isolation task results in a more promising performance.
Download or read book NASA Conference Publication written by and published by . This book was released on 1988 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence Applications and Innovations by : Lazaros Iliadis
Download or read book Artificial Intelligence Applications and Innovations written by Lazaros Iliadis and published by Springer. This book was released on 2018-05-21 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of 4 workshops held at the 14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018, held in Rhodes, Greece, in May 2018. The workshops were the Workshop on Semantics in the Deep: Semantic Analytics for Big Data, SEDSEAL 2018; the Third Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2018; the 7th Mining Humanistic Data Workshop, MHDW 2018; and the Workshop on Intelligent Cloud and IOT Paradigms in EHealth, HEALTHIOT 2018. The 19 full papers and 5 short papers presented were carefully reviewed and selected from a total of 53 submissions: SEDSEAL accepted 2 full papers out of 5 submissions, 5G-PINE 6 full and one short paper out of 24, MHDW 7 full and 4 short papers out of 15, and HEALTHIOT 4 full papers out of 9. The papers cover topics such as AI in 5G and telecommunications, AI and e-health services, AI in 5G networks, incremental learning, clustering, AI in text mining, visual data analytics, AI in molecular biology, DNA, RNA, proteins, big data analytics, Internet of Things and recommender systems, and AI in biomedical applications.
Book Synopsis Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing by : Amit Kumar Tyagi
Download or read book Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2024-10-15 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Book Synopsis Aircraft Health and Usage Monitoring Systems by : Institution of Mechanical Engineers (Great Britain)
Download or read book Aircraft Health and Usage Monitoring Systems written by Institution of Mechanical Engineers (Great Britain) and published by . This book was released on 1996 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings contain a selection of papers from the "Aerotech" event dealing with aircraft health and usage monitoring systems. The topics covered include analysis of usage data, vibration monitoring, neural networks, engine monitoring, predicting structural fatigue and fault diagnosis.
Author :National Aeronautics and Space Adm Nasa Publisher :Independently Published ISBN 13 :9781794440708 Total Pages :36 pages Book Rating :4.4/5 (47 download)
Book Synopsis Application of Machine Learning to Rotorcraft Health Monitoring by : National Aeronautics and Space Adm Nasa
Download or read book Application of Machine Learning to Rotorcraft Health Monitoring written by National Aeronautics and Space Adm Nasa and published by Independently Published. This book was released on 2019-01-22 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a powerful tool for data exploration and model building with large data sets. This project aimed to use machine learning techniques to explore the inherent structure of data from rotorcraft gear tests, relationships between features and damage states, and to build a system for predicting gear health for future rotorcraft transmission applications. Classical machine learning techniques are difficult, if not irresponsible to apply to time series data because many make the assumption of independence between samples. To overcome this, Hidden Markov Models were used to create a binary classifier for identifying scuffing transitions and Recurrent Neural Networks were used to leverage long distance relationships in predicting discrete damage states. When combined in a workflow, where the binary classifier acted as a filter for the fatigue monitor, the system was able to demonstrate accuracy in damage state prediction and scuffing identification. The time dependent nature of the data restricted data exploration to collecting and analyzing data from the model selection process. The limited amount of available data was unable to give useful information, and the division of training and testing sets tended to heavily influence the scores of the models across combinations of features and hyper-parameters. This work built a framework for tracking scuffing and fatigue on streaming data and demonstrates that machine learning has much to offer rotorcraft health monitoring by using Bayesian learning and deep learning methods to capture the time dependent nature of the data. Suggested future work is to implement the framework developed in this project using a larger variety of data sets to test the generalization capabilities of the models and allow for data exploration. Cody, Tyler and Dempsey, Paula J. Glenn Research Center NASA/TM-2017-219408, E-19307, GRC-E-DAA-TN35995
